Evaluation of a type 1 diabetes serum cohort by SELDI-TOF MS protein profiling

Proteomics analysis of serum from patients with type 1 diabetes (T1D) may lead to novel biomarkers for prediction of disease and for patient monitoring. However, the serum proteome is highly sensitive to sample processing and before proteomics biomarker research serum cohorts should preferably be examined for potential bias between sample groups. SELDI‐TOF MS protein profiling was used for preliminary evaluation of a biological‐bank with 766 serum samples from 270 patients with T1D, collected at 18 different paediatric centers representing 15 countries in Europe and Japan over 2 years (2000–2002). Samples collected 1 (n = 270), 6 (n = 248), and 12 (n = 248) months after T1D diagnosis were grouped across centers and compared. The serum protein profiles varied with collection site and day of analysis; however, markers of sample processing were not systematically different between samples collected at different times after diagnosis. Three members of the apolipoprotein family increased with time in patient serum collected 1, 6, and 12 months after diagnosis (ANOVA, p<0.001). These results support the use of this serum cohort for further proteomic studies and illustrate the potential of high‐throughput MALDI/SELDI‐TOF MS protein profiling for evaluation of serum cohorts before proteomics biomarker research.     

The murine plasma protein response to polymicrobial intra-abdominal sepsis

Protein biomarkers in the peripheral blood could potentially be used as early indicators of sepsis and a means to stratify patients for clinical trials. Although individual molecular markers have been proposed for sepsis, none has clinical utility. The global changes in plasma proteins over the clinical course of sepsis have not been characterized using proteomic methods. We used cecal ligation and puncture to induce polymicrobial sepsis in mice and generated plasma protein profiles using 2‐D DIGE of plasma from septic mice and surgical controls. Replicate cohorts (n = 3) of 4–7 animals each were used to identify 62 gel features that changed significantly (Student's t‐test, p<0.05). We identified a suite of plasma proteins that describe uniquely the host plasma response to polymicrobial septic insult. Principal components analysis of protein abundance showed that ～90% of the variability between samples was due to sepsis. In addition to canonical acute phase proteins, we identified proteins that are associated with metabolic changes (e.g. α‐2 HS glycoprotein and zinc α‐2 glycoprotein) consistent with the pathophysiology of sepsis. The panel of sepsis‐associated molecular markers identified herein may prove useful in the diagnosis and categorization of sepsis.     

Characterisation of tumoral markers correlated with ErbB2 (HER2/Neu) overexpression and metastasis in breast cancer

The receptor tyrosine kinase ErbB2 (HER2/neu) is overexpressed in ?30% of breast cancers and is associated with poor prognosis and an increased likelihood of metastasis. Clinical treatments such as trastuzumab are effective in less than 35% of women diagnosed as ErbB2‐positive, highlighting the necessity of searching for novel targets and alternative therapies. Herein, a proteomic screening strategy combining quantitative‐based gel electrophoresis and MS was used to compare the protein expression of 48 normal human breast and tumour tissues differing in ErbB2 expression and lymph node status. The aim was to identify proteins associated with the aggressive phenotype of ErbB2‐positive breast cancer which could be potential biomarkers of the disease as well as therapy targets. In total, 177 protein isoforms (107 gene products) differentially expressed between tissue groups were identified. Immunohistochemical staining of a tissue‐microarray was used for validation of selected protein candidates. We found that expression of HSP90α, laminin and GSTP1 significantly correlated with ErbB2 expression, while others such as AGR2, NM23H1 and Annexin 2 were overexpressed in greater than 40% of tumours. Finally, knocking‐down the expression by RNA interference of three candidates, AGR2, Transgelin2 and NM23H1 resulted in an enhanced invasive capacity of MDA‐MB435 cells. These data support the involvement of these targets in tumour progression and identify them as novel biomarkers of the disease.     

Overexpression and elevated plasma level of tumor-associated antigen 90K/Mac-2 binding protein in colorectal carcinoma

The cancer cell secretome may contain potentially useful biomarkers. Previously, we have analyzed the colorectal carcinoma (CRC) cell secretome. In this study, tumor‐associated antigen 90K (TAA90K)/Mac‐2 binding protein (Mac‐2BP), one of the CRC cell secreted proteins, was chosen for evaluation as a potential CRC biomarker because its mRNA level was also found to be significantly elevated in CRC tissues and in a more metastatic CRC cell line from the analysis of two public domain array‐based datasets. Immunohistochemical analysis of 241 CRC specimens showed that TAA90K/Mac‐2BP was positively detected in 52.7% of the tumors, but weakly or not detected in over 95% of the adjacent nontumor epithelial cells. The plasma TAA90K/Mac‐2BP levels were significantly higher in CRC patients (N = 280) versus healthy controls (N = 147) (7.77 ± 3.49 vs. 5.72 ± 2.67 μg/mL, p<0.001). Moreover, combination of TAA90K/Mac‐2BP and carcinoembryonic antigen (CEA) could outperform CEA alone in discriminating CRC patients from healthy persons in this case‐control study. Our results collectively indicate that analysis of cancer cell secretome is a feasible strategy for identifying cancer biomarker candidates, and the TAA90K/Mac‐2BP may be a potential CRC biomarker.     

In this issue: Proteomics – Clinical Applications 9/2008

In this issue of Proteomics – Clinical Applications you will find the following highlighted articles: Always probing for more: prostate biomarkers It feels a bit like the late nineteenth century, but instead of a gold rush every two to five years, it's a new favorite target in the biomarker rushes. (Actually, gold rushes go back to ancient Egypt. Biomarkers don't go that far but medical research does.) Here, Burgess et al. take a walk outside the box when they encounter the asymmetry of protein abundance. Rather than synthetically trapping compounds to expose or capture low abundance compounds, they use nature's own: in particular, alpha‐2‐macroglobulin (A2M). A2Ms normal function is to bind proteins that are to be protected from proteolysis, a universal protease inhibitor. Using immunoprecipitation of A2M and comparing cases vs. controls, enhanced levels of heat shock protein 90 in serum was their most interesting candidate for this year's marker rush. Burgess, E. F. et al., Proteomics Clin. Appl. 2008, 2, 1223–1233. Brainwashing samples No, we are not suggesting 1984‐style re‐education to improve proteome productivity. Rather, Dean et al. are reporting on the efficiency of fractionation of brain tissue proteins by graduated detergent extraction prior to 2‐DE. Another anticipated benefit is increased relative concentration of the less abundant proteins. Samples from two areas of the human brain (Brodmann's Area 9 (BA9) and caudate nucleus and putamen CP) were prepared with a sequential extraction kit and compared by 1‐DE and Western blots, 2‐DE and MALDI‐TOF. The conclusion was that no detergent conditions were found that resolved proteins completely but that each detergent point gave a different 2‐D pattern, a benefit for those looking for distinguishing marks. Dean, B. et al., Proteomics Clin. Appl. 2008, 2, 1281–1289. Liver and kidney pie In orthotopic (“full replacement”) liver transplants, one of the most common complications is chronic kidney (yes, kidney) disease. Currently, kidney complications are tracked by functional tests, like serum urea and creatinine levels. If things look suspicious, glomerular filtration rates can be checked. O'Riordan et al. applied SELDI TOF‐MS techniques to serum samples to look for easier, more accurate targets. Serum samples were collected repeatedly over a 6‐month period. Each was divided into six fractions by elution pH or by organic solvent, then examined on weak cation exchange (CM10), hydrophobic (H50) and immobilized metal affinity surfaces (IMAC30). CM10 was best at distinguishing case from control using three proteins and reporting a sensitivity of ～87–94%. On the basis of peptide LC‐MS and 1‐D SDS‐PAGE and confirmed by ELISA, the best single indicator was APO‐AI. Most cases of kidney disease appeared to be linked to the use of calcineurin inhibitors for immune suppression. O'Riordan, A. et al., Proteomics Clin. Appl. 2008, 2, 1338–1348.     

Cover Picture: Proteomics – Clinical Applications 9/2008

In this issue of Proteomics – Clinical Applications you will find the following highlighted articles: Always probing for more: prostate biomarkers It feels a bit like the late nineteenth century, but instead of a gold rush every two to five years, it's a new favorite target in the biomarker rushes. (Actually, gold rushes go back to ancient Egypt. Biomarkers don't go that far but medical research does.) Here, Burgess et al. take a walk outside the box when they encounter the asymmetry of protein abundance. Rather than synthetically trapping compounds to expose or capture low abundance compounds, they use nature's own: in particular, alpha‐2‐macroglobulin (A2M). A2Ms normal function is to bind proteins that are to be protected from proteolysis, a universal protease inhibitor. Using immunoprecipitation of A2M and comparing cases vs. controls, enhanced levels of heat shock protein 90 in serum was their most interesting candidate for this year's marker rush. Burgess, E. F. et al., Proteomics Clin. Appl. 2008, 2, 1223–1233. Brainwashing samples No, we are not suggesting 1984‐style re‐education to improve proteome productivity. Rather, Dean et al. are reporting on the efficiency of fractionation of brain tissue proteins by graduated detergent extraction prior to 2‐DE. Another anticipated benefit is increased relative concentration of the less abundant proteins. Samples from two areas of the human brain (Brodmann's Area 9 (BA9) and caudate nucleus and putamen CP) were prepared with a sequential extraction kit and compared by 1‐DE and Western blots, 2‐DE and MALDI‐TOF. The conclusion was that no detergent conditions were found that resolved proteins completely but that each detergent point gave a different 2‐D pattern, a benefit for those looking for distinguishing marks. Dean, B. et al., Proteomics Clin. Appl. 2008, 2, 1281–1289. Liver and kidney pie In orthotopic (“full replacement”) liver transplants, one of the most common complications is chronic kidney (yes, kidney) disease. Currently, kidney complications are tracked by functional tests, like serum urea and creatinine levels. If things look suspicious, glomerular filtration rates can be checked. O'Riordan et al. applied SELDI TOF‐MS techniques to serum samples to look for easier, more accurate targets. Serum samples were collected repeatedly over a 6‐month period. Each was divided into six fractions by elution pH or by organic solvent, then examined on weak cation exchange (CM10), hydrophobic (H50) and immobilized metal affinity surfaces (IMAC30). CM10 was best at distinguishing case from control using three proteins and reporting a sensitivity of ～87–94%. On the basis of peptide LC‐MS and 1‐D SDS‐PAGE and confirmed by ELISA, the best single indicator was APO‐AI. Most cases of kidney disease appeared to be linked to the use of calcineurin inhibitors for immune suppression. O'Riordan, A. et al., Proteomics Clin. Appl. 2008, 2, 1338–1348.     

Identification of Apolipoprotein AI as a serum biomarker of chronic kidney disease in liver transplant recipients, using proteomic techniques

Chronic kidney disease (CKD) is a common complication post‐orthotopic liver transplantation (OLT). Development of CKD is detected by monitoring serum urea and creatinine, however disease can occasionally be at an advanced stage before they become abnormal. Therefore, more accurate parameters are required. In order to identify novel biomarkers of CKD, serum was obtained from 47 OLT recipients with CKD (glomerular filtration rate <60 mL/min) and 23 with normal renal function (glomerular filtration rate >90 mL/min). Using the proteomic technique SELDI‐TOF‐MS, three protein biomarkers (55.6 kDa, 9.5 kDa and 11.4 kDa) were identified that, together, could stratify patients into cases or controls with a sensitivity and specificity of 93.6 and 91.3%, respectively. The area under the curve was 0.94. The primary splitter of the groups at 55.6 kDa was an alternative version of a molecule at 27.8 kDa, which was subsequently identified by 1‐D SDS‐PAGE and LC‐ESI‐MS/MS to be Apolipoprotein AI. Protein expression was shown to be reduced in CKD, by both ELISA (p = 0.057) and Western blot analysis (p = 0.003). Apolipoprotein AI is a novel, accurate marker of CKD post‐OLT. It does require further validation in a large, more diverse patient population but could potentially improve detection of CKD.     

Towards a comprehensive proteome of normal and malignant human colon tissue by 2-D-LC-ESI-MS and 2-DE proteomics and identification of S100A12 as potential cancer biomarker

The aim of this study was to characterize the proteome of normal and malignant colonic tissue. We previously studied the colon proteome using 2‐DE and MALDI‐MS and identified 734 proteins (Roeßler, M., Rollinger, W., Palme S., Hagmann, M.‐L., et al.., Clin. Cancer Res. 2005, 11, 6550–6557). Here we report the identification of additional colon proteins from the same set of tissue samples using a complementary nano‐flow 2‐D‐LC‐ESI‐MS. In total, 484 proteins were identified in colon. Of these, 252 had also been identified by the 2‐DE/MALDI‐MS approach, whereas 232 proteins were unique to the 2‐D‐LC‐ESI‐MS analysis. Comparing protein expression in neoplastic and normal colon tissue indicated elevated expression of several proteins in colorectal cancer, among them the well established tumor marker carcinoembryonic antigen, as well as calnexin, 40S ribosomal protein S15a, serpin H1, and S100A12. Overexpression of these proteins was confirmed by immunoblotting. Serum levels of S100A12 were determined by ELISA and were found to be strongly elevated in colorectal cancer patients compared to healthy individuals. We conclude, that 2‐D‐LC‐ESI‐MS is a powerful approach to identify and compare protein profiles of tissue samples, that it is complementary to 2‐DE/MALDI‐MS approaches and has the potential to identify novel biomarkers.     

Cover Picture: Proteomics – Clinical Applications 1/2008

In this issue of Proteomics you will find the following highlighted articles: Colon Cancer Complements to 2‐DE from 2‐D‐LC “When you have a good thing going, run with it” – Quote from paleolithic philosopher and hunting consultant. In this case, Thierolf et al. took a colon cancer sample set well‐characterized by 2‐DE‐MALDI PMF and ran it through a 2‐D‐LC‐ESI‐MS protocol. The samples of malignant and normal tissues from the same patient, analyzed by 2‐DE‐MALDI and mass fingerprinting (reported elsewhere) yielded 734 unique proteins. When the same tissue specimens were analyzed by 2‐D‐LC‐ESI‐MS, 484 proteins were identified, 232 of them new and 252 that had been ID’d in the earlier work. The two unique sets exhibited similar functional and ontological profiles, confirming the complementarity of the two methods. Using the data to select up‐regulated proteins for evaluation of potential for serving as biomarkers, they chose S100A12 as particularly interesting. An ELISA found that it was more sensitive but less discriminating than carcinoembryonic antigen. S100A12 is also an inflammation marker. Thierolf, M. et al., Proteomics Clin. Appl. 2008, 2, 11–22 Urinary bladder cancer: A proteomic approach Standing at number five on the US cancer frequency list, urinary bladder cancer costs almost $3 billion a year. No acceptable early detection tests have been developed – it seems no one will volunteer for a “routine” annual cystoscopy, so the 5‐year survival rate has stayed below 50% for many years. Several urinary biomarkers have been developed but fall short in their frequency of false positives or false negatives. Using 2‐DE/MALDI‐TOF MS and Ingenuity Systems’ Pathway Analysis software, Li et al. surveyed invasive urothelial carcinomas for up‐regulated proteins and settled on Choro­ideremia‐like protein (CHML) out of 21 candidates. Immunohistochemistry and Western blotting verified the specificity. The functional pathways found are part of the lipid metabolism, inflammation and molecular transport machinery and CHML is part of the Rab geranylgeranylation pathway. More work is needed to understand the diagnostic potential of CHML. Li, J. et al., Proteomics Clin. Appl. 2008, 2, 78–89. Angina: Looking for markers in all the right places Angina, the chest pain associated with heart attacks, has two forms: stable (SAP) and unstable (UAP). SAP is relieved by rest. UAP pain persists at rest and is often due to formation of a clot which can lead to major or fatal damage (ischemia, myocardial infarct). The ability to distinguish the two would be a boon to hospital emergency care facilities because admission and intensive care are not required for SAP. Brown et al. report here the use of anti‐leukocyte antibody arrays to analyze circulating cells by surface CD antigen type. Starting with 82 antibodies, they could readily distinguish healthy from SAP and UAP cases from 8 and 19 spot intensity differences, respectively. SAP and UAP could be separated with seven markers using spot intensity and cluster analysis, but not as cleanly, possibly because SAP has a tendency to convert to UAP. Brown, A. et al., Proteomics Clin. Appl. 2008, 2, 90–98.